RPi_64-bit_Zero-2-image
Jetson-Nano-Ubuntu-20-image
RPi_64-bit_Zero-2-image | Jetson-Nano-Ubuntu-20-image | |
---|---|---|
3 | 8 | |
24 | 580 | |
- | - | |
0.0 | 5.9 | |
about 2 years ago | 2 months ago | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RPi_64-bit_Zero-2-image
-
One year on, 64-bit vs 32-bit OS
For Zero 2, with 64-bit you are trading (somewhat) increased performance for available memory. So, really, the choice should depend on what you need more of.
-
Building a compact Pi cluster
the 64-bit performance of Bullseye on the Pi Zero 2 W may not be ideal and I may need to rebuild with 32-bit on the nodes
-
Install A Raspberry Pi Zero 2 64-bit OS Buster with OpenCV, TensorFlow Lite and ncnn
They helpfully pre-rolled an image on their github with additional instructions here https://github.com/Qengineering/RPi_64-bit_Zero-2-image
Jetson-Nano-Ubuntu-20-image
-
I tried Harvesting with a Jetson Nano So you don't have to
Or use the Image: https://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image
- How to upgrade virt-manager and all its dependencies without upgrading ubuntu 20.04
-
ROS2 Humble on Jetson Nano or Jetson Xavier NX (Ubuntu 20.04)
manually upgrade your 18.04 you installed from flashing jetpack 4.6 following this guide, https://qengineering.eu/install-ubuntu-20.04-on-jetson-nano.html
-
Jetson Nano and Ubuntu 20.0.4
Hey so I followed the steps here: https://qengineering.eu/install-ubuntu-20.04-on-jetson-nano.html
- Nvidia abandones Jetson Nano
What are some alternatives?
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
L4T-Megascript - All-in-one installer and updater for popular programs on L4T Ubuntu/Fedora with no prior knowledge of Linux needed
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models